Deep Reinforcement Learning-Assisted Universal Active Filter for Power Quality Enhancement in a SyRG-Based Standalone Renewable Energy System with Hybrid Energy Storage
The rapid deployment of standalone renewable energy systems has increased the need for intelligent power quality enhancement techniques capable of operating under highly dynamic and nonlinear conditions. Conventional proportionalintegral (PI) controllers and recently developed Artificial Neural Network (ANN)-based cont...